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Grey Wolf optimization based power management strategy for battery storage of dfig-wecs in standalone operating mode

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dc.citedby4
dc.contributor.authorNasir Uddin M.en_US
dc.contributor.authorKhairul Amin I.en_US
dc.contributor.authorRezaei N.en_US
dc.contributor.authorMarsadek M.en_US
dc.contributor.authorid55663372800en_US
dc.contributor.authorid10040907100en_US
dc.contributor.authorid57216077273en_US
dc.contributor.authorid26423183000en_US
dc.date.accessioned2023-05-29T06:50:09Z
dc.date.available2023-05-29T06:50:09Z
dc.date.issued2018
dc.descriptionBattery management systems; Battery storage; Electric batteries; Electric fault currents; Electric load flow; Electric power generation; Energy conversion; Energy management systems; Heuristic algorithms; Optimization; Wind; Wind power; Battery power managements; Bidirectional converter (BDC); Doubly fed induction generator (DFIG); Doubly Fed Induction generators (DFIG); Stand-alone modes; Wind energy conversion system; Wind energy systems; Wind power generation systems; Asynchronous generatorsen_US
dc.description.abstractThis paper presents a novel grey wolf optimization based automatic power management strategy of a doubly fed induction generator (DFIG) - wind energy conversion system (WECS) operating in standalone mode. In isolated wind power generation system, either the dc-link or the ac load terminal is backed up by energy storage units, such as battery, super capacitor, dc power supply etc. In such cases, efficient power exchange from the supporting power source is very crucial during load fluctuation and intermittent wind speed. In this paper, a unique meta-heuristic algorithm known as grey wolf optimization (GWO) is introduced to ensure the optimized power exchange in a battery supported DFIG operating in standalone (SA) mode. The proposed optimization algorithm is chosen for its simplistic implementation, fast convergence and superior ability to avoid local optima over other conventional optimization techniques. The reference battery power is generated by the designed control unit which regulates the power flow in optimized manner through the bi-directional converter at battery end. Besides, the load-side and rotor-side converter control blocks are designed to stabilize the generated output. The simulation results of the overall system shows rigorous control over output voltage and load frequency under fluctuating wind speed and variable load condition and efficient battery power flow in standalone operating mode. � 2018 IEEEen_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8544633
dc.identifier.doi10.1109/IAS.2018.8544633
dc.identifier.scopus2-s2.0-85059951135
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059951135&doi=10.1109%2fIAS.2018.8544633&partnerID=40&md5=55301f1a8b36c4bc48fe561c1a499832
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23539
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
dc.titleGrey Wolf optimization based power management strategy for battery storage of dfig-wecs in standalone operating modeen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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